Introduction: The hyaluronic acid dermal fillers are employed to bring balance and facial harmony, improving the proportions and asymmetries of the structures, besides acting to reverse the signs of facial aging. The periorbital region is one of the first to show the signs of aging with periocular wrinkles, deepening of the nasojugal and palpebromalar folds, prolapse of the fat bags, excess palpebral skin, ptosis of the eyelashes, disappearance of the upper eyelid crease due to excess skin and hollowing of the upper eyelid.
Aims: To describe the lines and grooves of the periorbital region and present a practical guide to the MD CODES™ algorithm for filling this region based on a narrative review of the literature.
Methods: The literature research considered published journal articles (clinical trials or scientific reviews). Studies were identified by searching electronic databases (MEDLINE and PubMed) and reference lists of respective articles.
Results: MD CODES™ algorithm maps anatomical points of the face (anatomical codes) that, when treated with fillers, promote instantaneous lifting and rejuvenation. In addition to defining the points for treatment, this method identified the order of the points to be treated, that is, which points should be prioritized to cause greater aesthetic impact. The MD CODES aim to standardize facial rejuvenation and is of particular interest for young as well as more experienced physicians.
Conclusion: Was presented in detail the regions, the aesthetic effects of the application, the technique, the volume, and the target structure undertaken in the remodeling of the tear trough, periorbital, temporal, brow, and frontal regions.
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Front Sports Act Living
December 2024
Red Bull Athlete Performance Center Salzburg, Salzburg, Austria.
Alpine skiing is a popular sport in many countries and holds benefits in terms of health and well-being. At the same time alpine skiing is associated with a certain risk of accidents caused, among other things, by overestimating one's own skiing skills. Self-assessment of skiing skills is not trivial.
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February 2025
Department of Emergency, Xianning Central Hospital, The First Affiliated Hospital of Hubei University of Science and Technology, Xianning, Hubei 437199, P.R. China.
Previous research has highlighted the critical role of amino acid metabolism (AAM) in the pathophysiology of sepsis. The present study aimed to explore the potential diagnostic and prognostic value of AAM-related genes (AAMGs) in sepsis, as well as their underlying molecular mechanisms. Gene expression profiles from the Gene Expression Omnibus (GSE65682, GSE185263 and GSE154918 datasets) were analyzed.
View Article and Find Full Text PDFPatterns (N Y)
December 2024
Data Sciences and Artificial Intelligence Section, College of Information Sciences and Technology, The Pennsylvania State University, University Park, PA, USA.
The placenta is vital to maternal and child health but often overlooked in pregnancy studies. Addressing the need for a more accessible and cost-effective method of placental assessment, our study introduces a computational tool designed for the analysis of placental photographs. Leveraging images and pathology reports collected from sites in the United States and Uganda over a 12-year period, we developed a cross-modal contrastive learning algorithm consisting of pre-alignment, distillation, and retrieval modules.
View Article and Find Full Text PDFFront Hum Neurosci
December 2024
Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands.
Introduction: As brain-computer interfacing (BCI) systems transition fromassistive technology to more diverse applications, their speed, reliability, and user experience become increasingly important. Dynamic stopping methods enhance BCI system speed by deciding at any moment whether to output a result or wait for more information. Such approach leverages trial variance, allowing good trials to be detected earlier, thereby speeding up the process without significantly compromising accuracy.
View Article and Find Full Text PDFFront Chem
December 2024
African Society for Bioinformatics and Computational Biology, Cape Town, South Africa.
Introduction: Dengue Fever continues to pose a global threat due to the widespread distribution of its vector mosquitoes, and . While the WHO-approved vaccine, Dengvaxia, and antiviral treatments like Balapiravir and Celgosivir are available, challenges such as drug resistance, reduced efficacy, and high treatment costs persist. This study aims to identify novel potential inhibitors of the Dengue virus (DENV) using an integrative drug discovery approach encompassing machine learning and molecular docking techniques.
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